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Thought and mood/arousal disturbances as central broad dimensions in youth psychopathology: A network analysis
Faculty of Philosophy- University of Niš, Department of Psychology, Niš (SRB).
Clinic for Neurology and Psychiatry for Children and Youth- 11000 Belgrade (SRB); Gillberg Neuropsychiatry Centre,Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg (SWE).
Faculty of Psychology- University of Social Sciences and Humanities, Faculty of Psychology, Hanoi (VNM).
Department of Psychiatry and Behavioural Sciences, SUNY Upstate Medical University, Syracuse, NY (USA).
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2024 (English)In: Neuroscience Applied, ISSN 2772-4085, Vol. 3, no Suppl 1, p. 103951-103951, article id 103951Article in journal (Refereed) Published
Abstract [en]

Mounting evidence has implicated that the structure of psychopathology is better conceptualized as dimensional and not categorical as well as hierarchical [1-3]. A hierarchical structure includes a broad general dimension of psychopathology and more specific dimensions that capture distinct aspects of psychopathology [3]. Studies inquiring into the structure of psychopathology in youth are limited, but highly needed to provide the basis for aetiological research. A network paradigm could offer a novel way to study the structure of psychopathological dimensions revealing dynamics behind their interrelations.This study was based on the previous analysis that aimed to map various psychopathological symptoms and personality traits within the hierarchical structure based on the Hierarchical Taxonomy of Psychopathology (HiTOP) [2] in a multinational sample of 3923 community adolescents (34.7% males, aged 15 to 19 years) (https://osf.io/fujxa/).

Twelve specific components were derived via sequential principal component analysis (PCA) and further analysed here: thought dysfunction, low mood, fearfulness, anxiety, physiological hyperarousal, attentional dysfunction, disruptive mood, antisocial behaviour, antagonistic behaviour, detachment, self-destructive behaviour, and substance use. These components were an input to a network analysis to study the grouping/node communities, interconnectedness, and centrality of them. The analyses include Exploratory Graph Analysis (EGA; model=glasso) for dimensionality/grouping analysis and network analysis (EBICglasso estimation performed on Spearman correlations) performed in EGAnet and bootnet packages in R. We used Strength and Expected Influence as centrality measures. Components are represented as nodes in the network.The EGA suggested four dimensions/node communities: the first consisting of substance use and antisocial behaviour, the second composed of self-destructive behaviour and disruptive mood, the third consisting of antagonism and detachment, and the fourth consisting of thought dysfunction, low mood, physiological arousal, anxiety, attentional dysfunction, and fearfulness.

The network analysis revealed that thought dysfunction, physiological arousal, low mood, and disruptive mood were the most central nodes in the network suggesting their interconnectedness with all other nodes in the network.Our network analysis revealed that specific psychopathological subfactors in youth could be clustered into four broader separate dimensions. Specifically, thought and mood/arousal disturbances proved to be most interconnected with all other nodes/subfactors in the network suggesting that these subfactors could be central in youth psychopathology.

This result reinforces earlier observations, indicating that thought dysfunction encompasses more than just disordered thought content and forms; it also represents a transdiagnostic phenomenon that spans various disorder dimensions [5]. Thought dysfunction is primarily associated with psychosis but it is also an indication of a broader inability to regulate thinking processes in general (i.e., dysfunctional processes) and extends to other cognitive-rational disturbances [1]. In addition, these findings also align with previous findings that negative affectivity (mostly related to individual differences in experiences of negative emotions), like low or disruptive mood and arousal difficulties highly likely underly general psychopathology [1].

Place, publisher, year, edition, pages
2024. Vol. 3, no Suppl 1, p. 103951-103951, article id 103951
Keywords [en]
youth, psychopathology, neuroscience
National Category
Nursing
Research subject
NURSING AND PUBLIC HEALTH SCIENCE, Nursing science
Identifiers
URN: urn:nbn:se:hv:diva-21414DOI: 10.1016/j.nsa.2024.103951OAI: oai:DiVA.org:hv-21414DiVA, id: diva2:1845263
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CC BY 4.0

Available from: 2024-03-18 Created: 2024-03-18 Last updated: 2024-05-17

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Kerekes, Nora

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